metadata
base_model: csebuetnlp/banglat5
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: banglat5-finetuned-headlineBT5_PP
results: []
banglat5-finetuned-headlineBT5_PP
This model is a fine-tuned version of csebuetnlp/banglat5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.6356
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 16.4375
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 14.3172 | 1.0 | 80 | 8.5273 | 0.0 | 0.0 | 0.0 | 0.0 | 8.0875 |
| 11.5082 | 2.0 | 160 | 7.7195 | 0.0 | 0.0 | 0.0 | 0.0 | 11.7875 |
| 8.8925 | 3.0 | 240 | 7.1556 | 0.0 | 0.0 | 0.0 | 0.0 | 17.4625 |
| 8.8689 | 4.0 | 320 | 6.7662 | 0.0 | 0.0 | 0.0 | 0.0 | 17.6 |
| 8.6182 | 5.0 | 400 | 6.6356 | 0.0 | 0.0 | 0.0 | 0.0 | 16.4375 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2